Non-target MFA

The holistic and systematic nature of metabolomics makes it suitable for the analysis of complex systems, such as the screening of drugs that exert their effects through multiple components and targets. The identification of metabolic flux changes in biological systems is of high value in various scientific fields such as pharmacology, biotechnology and chemistry. In recent years, non-targeted metabolic flux analysis has become a powerful tool for large-scale early diagnosis and new biomarker discovery, which studies known and unknown metabolites by using techniques capable of detecting large numbers of metabolites. Creative Proteomics has talented scientists and state-of-the-art facilities to provide our clients with unparalleled expertise to help analyze the overall metabolic profile and discover the metabolic mechanisms behind the phenomenon.

Applications of Our Non-target MFA Services

  • Clinical diagnosis
  • Pathology mechanisms research
  • New drug development
  • Drug toxicology studies
  • Efficacy evaluation

MID similarity analysis for pathway contextualization and detection of metabolically related compounds. Figure 1. MID similarity analysis for pathway contextualization and detection of metabolically related compounds. (Weindl, D.; et al. 2016)

Our Services

Creative Proteomics has developed a novel metabolic flux analysis platform to provide non-target MFA service in a competitive fashion. Our high-throughput platform and self-developed metabolomics data processing system can provide fully automated, high-throughput, one-stop service for non-targeted metabolic flux analysis. We can offer a wide range of services to support all research and development activities.

  • Our experienced team has characterized the qualitative production of more metabolites as much as possible, covering a diversity of metabolic pathways
  • Our well-developed metabolic flux analysis platform can accurately and rapidly analyze biological samples (blood, urine, tissue, saliva, amniotic fluid, cells and cell fluid, etc.) and small molecule metabolites covered with more than 95% of pathways in plant samples, reflecting the multi-dynamic response of living organisms to external stimuli, pathophysiological changes, and metabolite levels in vivo caused by their own genetic mutations
  • Through high throughput detection and data processing of endogenous metabolites present in biological fluids or tissues, our well-established non-targeted metabolic throughput analysis platform can identify potential biomarkers associated with physiological or pathological changes

MID similarity reflects metabolic similarity and can aid compound identification. Figure 2. MID similarity reflects metabolic similarity and can aid compound identification. (Weindl, D.; et al. 2016)

Non-target MFA Procedure

  • Sample preparation
  • Data information extraction
  • Metabolic pathway analysis
  • Statistical reporting

Technical Advantages

  • A diversity of types of biological samples can be well detected
  • Fully automatic pre-processing
  • Automatic data processing

Features of Our MFA Platform

  • Developed based on the most updated knowledge of biology, bioinformatics and software development
  • Widely applicable to a wide range of metabolic system
  • Professional bioinformatics teams & personalized bioinformatics analysis services.
  • Advanced instrument platform
  • Integrated quantitative methodologies and comprehensive solutions for metabolomics

Based on high-performance quantitative techniques and advanced equipment, Creative Proteomics has constantly updating our metabolic flux analysis platform and is committed to offering professional, rapid and high-quality services of Non-target-MFA at competitive prices for global customers. Our personalized and comprehensive services can satisfy any innovative scientific study demands, please contact our specialists to discuss your specific needs. We are looking forward to cooperating with you!

Reference

  1. Weindl, D.; et al. Bridging the gap between non-targeted stable isotope labeling and metabolic flux analysis. Cancer & Metabolism. 2016. 4(1).

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